Student AI Solution Developer

Overview We're seeking a Student AI Solution Developer to join our team in a part-time capacity, working closely with faculty and staff to develop and implement innovative Generative AI (Gen AI) solutions. This role offers hands-on experience in applying cutting-edge AI technology to real-world academic, research, and administrative challenges within the university. Responsibilities Design and Build AI Solutions: Collaborate with university personnel to understand their needs and develop specialized Gen AI agents and solutions to enhance teaching, research, or administrative processes. Utilize Low-Code/No-Code Tools: Primarily use Microsoft Copilot Studio and CWRU AI (our custom general-purpose AI chat service supporting various models and custom agents) to quickly prototype and deploy solutions. Explore Cloud AI Services: Utilize AI capabilities within major cloud services like AWS , GCP , and Azure for more complex or integrated projects, as needed. Documentation and Training: Document development processes, agent configurations, and provide basic training or support to end-users of the deployed solutions.

Qualifications Current university student (undergraduate or graduate) in Computer Science, Data Science, Information Systems, or a related field preferred. Familiarity with the concepts of Generative AI, Large Language Models (LLMs), and AI agents. A strong interest in technology and a willingness to learn new low-code/no-code platforms quickly. Excellent problem-solving and communication skills to effectively collaborate with non-technical faculty and staff. Prior experience or coursework with any of the mentioned platforms (Copilot Studio, CWRU AI, AWS/GCP/Azure AI services) is a plus, but not required.